Modern technological era has reshaped traditional lifestyle in several domains. The medium of publishing news and events has become faster with the advancement of Information Technology. IT has also been flooded with immense amounts of data, which is being published every minute of every day, by millions of users, in the shape of comments, blogs, news sharing through blogs, social media micro-blogging websites and many more. Manual traversal of such huge data is a challenging job, thus, sophisticated methods are acquired to perform this task automatically and efficiently. News reports events that comprise of emotions - good, bad, neutral. Sentiment analysis is utilized to investigate human emotions present in textual information. This paper presents a lexicon-based approach for sentiment analysis of news articles. The experiments have been performed on BBC news data set, which expresses the applicability and validation of the adopted approach.

中文翻译：

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新闻情绪分析

现代科技时代在多个领域重塑了传统生活方式。随着信息技术的进步，发布新闻和事件的媒介变得越来越快。IT 还充斥着海量数据，每天每分钟都由数百万用户以评论、博客、博客新闻共享、社交媒体微博网站等形式发布。手动遍历如此庞大的数据是一项具有挑战性的工作，因此需要复杂的方法来自动有效地执行此任务。新闻报道由情绪组成的事件——好的、坏的、中性的。情感分析用于调查文本信息中存在的人类情感。本文提出了一种基于词典的新闻文章情感分析方法。